Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data.

  PMID 42044093 · PMC13119913 · PLoS computational biology · 2026 · 8 claims · 3 setups

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  PICDGI is a Bayesian framework that predicts driver-like regulatory genes by integrating dynamic gene-gene interaction modeling with scRNA-seq data, without using DNA mutation calls

  lung pediatric same scrna-seq moran's